SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 162,000 - 207,000 / annual
Monday.com is seeking a Forward Deployed Engineer to serve as the technical spearhead for AI transformation at the company's most strategic enterprise customers. You will carry a portfolio of 1–2 high-value accounts, embedding deeply with C-level and technical teams to architect, build, and ship AI solutions in production.
Key Responsibilities:
- Strategic Transformation: Embed with C-level stakeholders to architect end-to-end AI solutions and scalable workflows that solve complex, mission-critical business problems. Own the narrative from pilot through full production rollout.
- Outcome Ownership: Define success criteria with customers upfront and own delivery against committed business results—adoption rates, workflow throughput, measurable ROI. Your metric is the business outcome, not just the build.
- Build and Ship: Design sophisticated platform configurations, build Monday AI agents and Vibe apps, wire MCP integrations into customer systems, and prototype custom scripts where the platform ends. You combine architecture and judgment with hands-on execution.
- Eval-Driven Product Feedback: Instrument deployments, run evaluations against real customer workflows, and translate findings into PRDs and roadmap input. Serve as a sensor for the product organization, backing every claim with data.
- Cross-Functional Leadership: Partner with Sales and CS as the technical authority on account strategy. Productize patterns, agents, and assets from individual accounts into reusable machinery for the broader motion.
Monday.com is an AI work platform used by 250,000+ customers across departments. The role offers a direct line into the product roadmap, a mandate to productize rather than repeat, and outcome-based success criteria agreed before work begins.
Requirements:
- 5+ years building applications from scratch using TypeScript/Node.js/React, with full-stack depth
- Experience leading hands-on projects end-to-end in production environments, preferably client-facing
- Background in Solution Architecture or Software Engineering with strong grasp of AI/LLM systems: agent architectures, MCP or comparable tool-use protocols, evals, and prompt-to-production workflows
- Experience navigating C-suite relationships and influencing executive decisions in ambiguous environments
- Track record of turning one-off delivery work into reusable assets, product requirements, or repeatable playbooks
- Entrepreneurial, fast-moving mindset focused on long-term impact over immediate fixes
